University of Kentucky

MA 421G: Mathematical Introduction to Deep Learning

Spring 2024

MWF 11:00 am - 11:50 am, CB 341


     Dr. Qiang Ye
     Office: 735 Patterson Office Tower
     Email: qye3 "at" uky . edu
     Office Hours:  MWF 2:00-3:00 pm


There will be no required text, but the following book freely available online will be a good source of references:


     In this course, we study a widely applicable class of machine learning methods called deep learning. We will cover the following topics:      Selected materials from optimization, linear algebra, and probability theory will be covered.


     MA/STA 320 (or STA 524), MA/CS 321, and MA 322, or consent of instructor. Python programming will be used.

Course delivery

     The course will be in-person. Canvas will be the main platform. You will find all the information about teaching, assignments, and other online resources through your canvas webpage. The information here is tentative and is subject to changes.

Some references and links

     Below are some links and books on numerical linear algebra, optimization, and machine learning that may be helpful.